Russian economic policy: A model with discretionary policy or policy rules

Authors

  • Сергей Михайлович Иващенко St. Petersburg Institute for Economics and Mathematics, Russian Academy of Sciences, 1, Chaikovskogo ul., St. Petersburg, 191187, Russian Federation; St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation; National Research University Higher School of Economics, 20, Myasnitskaya Ulitsa, Moscow, 101000, Russian Federation https://orcid.org/0000-0002-4248-7430

DOI:

https://doi.org/10.21638/11701/spbu05.2018.108

Abstract

Models of dynamic stochastic general economic equilibrium (DSGE) are based on preferences and technologies. However, the behavior of the state is usually described using exogenous instrumental rules. In the face of significant changes in external conditions, such an approach can poorly predict the behavior of the state and, as a consequence, the economy. A DSGE model of Russia is developed, with the state conducting optimal policy for given purposes, along with a version in which the state follows instrumental rules. Parameters of the models were estimated by the maximum likelihood method and Bayesian inference (with a non-informative a priori distribution). The classical approach has affinity for the version with the optimal policy, and the Bayesian approach for the instrumental rules. The goals of the economic policy pursued in Russia are identified. In particular, the fight against inflation has low priority, and the stability of budget revenues has the highest priority. Estimates of a number of key parameters differ significantly for the two versions of the DSGE model, i.e. the type of state description significantly affects how the model of the rest of the economy should behave in order to comply with statistical data. At the same time, both versions of the model give almost the same quality of forecasts.

Keywords:

DSGE, instrument rules, optimal policy

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Author Biography

Сергей Михайлович Иващенко, St. Petersburg Institute for Economics and Mathematics, Russian Academy of Sciences, 1, Chaikovskogo ul., St. Petersburg, 191187, Russian Federation; St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation; National Research University Higher School of Economics, 20, Myasnitskaya Ulitsa, Moscow, 101000, Russian Federation

PhD in Economics

References

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Translation of references in Russian into English

Adjemian S., Bastani H., Juillard M., Karame F., Mihoubi F., Perendia G., Pfeifer J., Ratto M., Villemot S. Dynare: Reference Manual, Version 4. Dynare Working Papers, 2011 (1), Cepremap. Available at: http://www.dynare.org (accessed: 20.12.2017).

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Bhattacharjee A., Thoenissen C. Money and monetary policy in dynamic stochastic general equilibrium models. Manchester School, 2007, vol. 75, iss. s1, pp. 88–122.

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Clarke K. A. A Simple Distribution-Free Test for Nonnested Model Selection. Political Analysis, 2007, vol. 15, iss. 3, pp. 347–363.

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Gomez V., Maravall A. Programs TRAMO and SEATS, instruction for user. Banco de Espana, 1996, pp. 1–133. Heiberger C., Torben K., Maussner A. On the Numerical Accuracy of First-Order Approximate Solutions to DSGE Models. Macroeconomic Dynamics, 2017, vol. 21, iss. 07, pp. 1811–1826.

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Kass R., Raftery A. Bayes Factors. Journal of the American Statistical Association, 1995, vol. 90, pp. 773–795.

King R. Discretionary policy and multiple equilibria. Economic Quarterly, 2006, vol. 92/1, pp. 1–15.

Lombardo G., Ravenna F. Openness and optimal monetary policy. Journal of International Economics, 2014, vol. 93, iss. 1, pp. 153–172.

Lombardo G., Vestin D. Welfare implications of Calvo vs. Rotemberg-pricing assumptions. Economics Letters, 2008, no. 100 (2), pp. 275–279.

Malakhovskaya O., Minabutdinov A. Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia. International Journal of Computational Economics and Econometrics, 2014, vol. 4, iss. 1.2, pp. 148–180.

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Reis R. Optimal Monetary Policy Rules in an Estimated Sticky-Information Model. American Economic Journal: Macroeconomics, 2009, vol. 1, iss. 2, pp. 1–28.

Rotemberg J. Sticky Prices in the United States. Journal of Political Economy, 1982, vol. 90, iss. 6, pp. 1187–1211.

Sauer S. Discretion Rather Than Rules? When Is Discretionary Policymaking Better Than the Timeless Perspective? International Journal of Central Banking, 2010, vol. 6, iss. 2, pp. 1–29.

Schmitt-Grohe S., Uribe M. Business Cycles With A Common Trend in Neutral and Investment-Specific Productivity. Review of Economic Dynamics, 2011, vol. 14, iss. 1, pp. 122–135.

Schmitt-Grohe S., Uribe M. Optimal fiscal and monetary policy under sticky prices. Journal of Economic Theory, 2004, vol. 114, iss. 2, pp. 198–230.

Schmitt-Grohe S., Uribe M. Solving dynamic general equilibrium models using a second-order approximation to the policy function. Journal of Economic Dynamics and Control, 2004, no. 28 (4), pp. 755–775.

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Smets F., Wouters R. An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area. Journal of the European Economic Association, 2003, vol. 1, iss. 5, pp. 1123–1175.

Sun X., Tsang K. P. Optimal interest rate rule in a DSGE model with housing market spillovers. Economics Letters, 2014, vol. 125, iss. 1, pp. 47–51.

Taylor J. Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy, 1993, vol. 39, iss. 1, pp. 195–214.

Tovar C. E. DSGE models and central banks. Economics: The Open-Access, Open-Assessment E-Journal, 2009, no. 3 (16), pp. 1–31.

Wickens M. R. Macroeconomic Theory: A Dynamic General Equilibrium Approach. Princeton University Press, Princeton, 2008, pp. 1–489.

Wickens M. R. How Useful are DSGE Macroeconomic Models for Forecasting? Open Economies Review, 2014, vol. 25, iss. 1, pp. 171–193.

Published

2018-03-30

How to Cite

Иващенко, С. М. (2018). Russian economic policy: A model with discretionary policy or policy rules. St Petersburg University Journal of Economic Studies, 34(1), 149–172. https://doi.org/10.21638/11701/spbu05.2018.108

Issue

Section

Econometrics and Statistics

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